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Paper Abstract and Keywords
Presentation 2016-10-27 11:20
Voice Activity Detection Using Throat Microphone and Lavalier Microphone for Multi-Party Conversations
Yoshihiro Otaka, Takashi Tsunakawa, Masafumi Nishida, Masafumi Nishimura (Shizuoka Univ.) SP2016-43
Abstract (in Japanese) (See Japanese page) 
(in English) For analyzing multi-party conversations, accurate identification of the speaker and speech segment is important. For more accurate separation of the speech segments, multi-channel recording by using headset microphones is usually tried. Nevertheless, it has been difficult to detect the back-channel feedback and sympathize section, which tend to be superimposed on speech of the surrounding speaker. In this paper, we use throat microphone for stable recording of the target speaker without capturing the surrounding speech in the multi-party conversation. We propose a voice activity detection method using 2ch recording of throat microphone and lavalier microphone. The experimental results showed an improvement of voice activity detection performance by the proposed method. Besides, we developed on-line recording system working on smartphone to efficiently collect the Multi-party conversations. Furthermore, we collected multi-party conversations with elderly people and evaluated a voice activity detection performance of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Voice Activity Detection / GMM / Throat Microphone / Multi-party Conversation / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 279, SP2016-43, pp. 15-20, Oct. 2016.
Paper # SP2016-43 
Date of Issue 2016-10-20 (SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SP  
Conference Date 2016-10-27 - 2016-10-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Shizuoka University. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Learning, Recognition, Synthesis, Dialogue, etc. 
Paper Information
Registration To SP 
Conference Code 2016-10-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Voice Activity Detection Using Throat Microphone and Lavalier Microphone for Multi-Party Conversations 
Sub Title (in English)  
Keyword(1) Voice Activity Detection  
Keyword(2) GMM  
Keyword(3) Throat Microphone  
Keyword(4) Multi-party Conversation  
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1st Author's Name Yoshihiro Otaka  
1st Author's Affiliation Shizuoka University (Shizuoka Univ.)
2nd Author's Name Takashi Tsunakawa  
2nd Author's Affiliation Shizuoka University (Shizuoka Univ.)
3rd Author's Name Masafumi Nishida  
3rd Author's Affiliation Shizuoka University (Shizuoka Univ.)
4th Author's Name Masafumi Nishimura  
4th Author's Affiliation Shizuoka University (Shizuoka Univ.)
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Speaker Author-1 
Date Time 2016-10-27 11:20:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2016-43 
Volume (vol) vol.116 
Number (no) no.279 
Page pp.15-20 
#Pages 6 
Date of Issue 2016-10-20 (SP) 

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